FLDAS_NOAH01_CP_GL_M: Global Monthly Land Surface Model Data at 0.1 Degree

FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (GDAS and CHIRPS-PRELIM) V001 contains 28 land surface parameters simulated by the Noah 3.6.1 model within the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System. NASA provides this dataset with a global spatial coverage (60S to 90N) and monthly temporal resolution from January 2019 to the present. The simulation is forced by a combination of Global Data Assimilation System (GDAS) data and downscaled Climate Hazards Group InfraRed Precipitation with Station Preliminary (CHIRPS-PRELIM) rainfall data.

Use Cases

• Monitoring global soil moisture and temperature trends based on the 28 simulated land surface parameters.
• Analyzing long-term hydrological cycles and water balance components at a 0.1-degree spatial resolution.
• Validating other climate or land surface models using the FLDAS-assimilated data product.
• Studying precipitation and evaporation patterns for famine early warning system applications.

Strengths

• Provides 28 distinct land surface parameters for analysis.
• Offers a consistent global monthly time series from January 2019 onward.
• Uses a high spatial resolution of 0.1 degrees for global coverage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data freshness should be verified as the last metadata update was 2026-03-13.

Provenance

Source

National Aeronautics and Space Administration (NASA) via the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System.

Collection Method

Parameters simulated from the Noah 3.6.1 model, forced by GDAS and downscaled CHIRPS-PRELIM rainfall data, adapted from the Land Information System (LIS7).

Time Range

January 2019 to present.

Freshness

Monthly updates from January 2019 to present.

Geography

Global (60S, 180W, 90N, 180E).